Triple

T16779513
Position Surface form Disambiguated ID Type / Status
Subject Ariel E407819 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Michal E22906 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Michal | Statement: [Ariel, hasRelationshipWith, Michal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michal
Context triple: [Ariel, hasRelationshipWith, Michal]
  • A. Michal chosen
    Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
  • B. Michal
    Michal is a mentally impaired and childlike character in Martin McDonagh’s dark play "The Pillowman," whose actions and relationship with his brother Katurian are central to the story’s moral and emotional conflict.
  • C. Michał
    Michał is a Polish given name commonly used for males, equivalent to the English name Michael.
  • D. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • E. Milak
    Milak is a border town in India’s Uttar Pradesh state, known as a road-linked crossing point on the route to Afghanistan via Zaranj.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21401b881909bbbc7382e851a90 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab00cf708190a2562fa14d72a4df completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.